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However, our proposed design methodology is applicable to develop all semantic relation systems not limited to consecutive predicative units.
At the beginning of the 1990s, the analysis of the industrial relation systems and of the welfare-market-family triad leads to very gloomy predictions for employment in Spain.
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A relation system should be designed in a hierarchical way from top level to bottom level.
In this paper, the mapping from requirements into functions is considered as a fuzzy relation system.
In Section 2, we provide necessary background information and address the importance of design methodologies for semantic relation system.
Therefore, our semantic relation system adopts a feature-based decision-making methodology described below to achieve the best labeling.
It results in a hierarchical relation system of 24 fine-grained semantic relations, practically achieving the completeness and uniqueness criteria of relation identification.
In Section 3, we motivate the need for a new relation system and propose a feature-based design methodology in Section 3.1.
Therefore, in designing a semantic relation system for CPCs, we encounter the following problems: How many relations are needed to meet the completeness criterion, that is, are all semantic relations between CPCs covered by the proposed classification system?
The resulting hierarchical relation system is also formed a decision tree which is utilized to find the unique best relation among ambiguous multiple relations to achieve the uniqueness criterion.
That is why Microsoft outbid cloud-based rival Salesforce – which hosts businesses' marketing and customer relations systems – to buy it.
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